Terrorism
Russia to task bankers with shooting down Ukrainian drones
Russian lawmakers have passed a bill to allow trained bank employees to shoot down Ukrainian drones amid an increase in the number of attacks. The draft legislation, which would see banks across Russia install electronic jamming systems while selected employees would shoot down incoming unmanned aircraft, passed in its third and final reading in the lower house Duma on Tuesday, according to the state-run TASS news agency. The bill says the legislation is needed to protect Bank of Russia facilities, including those located in the new constituent entities of the Russian Federation - referring to the four eastern Ukrainian regions that Moscow has announced it has annexed despite not controlling them fully - amid the increasing number of sabotage and terrorist attacks. Under the plan, banks would finance the installation of the equipment on their premises. With banks in almost every town, their incorporation into Russia's air defences could help expand its cover.
Israel strikes Tyre after ordering evacuation of south Lebanon city
The Israeli military has said it is carrying out air strikes on Hezbollah targets in Tyre in southern Lebanon, after ordering the evacuation of the entire city. The military told residents that it was compelled to act forcefully in Tyre because the Iran-backed armed group was violating a US-brokered ceasefire that began five weeks ago. Earlier on Wednesday, Lebanese media reported a wave of Israeli strikes across the south and the eastern Bekaa Valley, with four people killed in the towns of Choukine and Nabatieh. Hezbollah, which has itself accused Israel of breaching the ceasefire, said it was battling Israeli troops north of the Litani river, about 30km (19 miles) from the border. It came a day after Israel's prime minister announced an expansion of its ground operation following Hezbollah drone attacks on troops occupying part of southern Lebanon and on civilians in northern Israel.
Eleven killed in Lebanon village as Israel intensifies strikes
Israel has launched an intensive wave of strikes across swathes of southern and eastern Lebanon, after vowing to step up its military action against Hezbollah. The Israeli military said it hit more than 100 Hezbollah infrastructure sites and fighters during what was one of the heaviest nights of bombardment since a US-brokered ceasefire began in mid-April. Strikes in the Bekaa Valley village of Mashghara killed 11 people, including two children, Lebanon's health ministry said. The military said it hit sites where terrorist activity was identified. It came after Israel's Prime Minister Benjamin Netanyahu said he had given the instruction to press the pedal even harder in targeting Hezbollah.
Netanyahu says Israel will intensify strikes against Hezbollah
The Israeli military says it has begun a wave of strikes across Lebanon following an announcement by Prime Minister Benjamin Netanyahu that his country will intensify its attacks on Hezbollah. The Israel Defense Forces (IDF) said it had launched strikes against Hezbollah sites in the Bekaa Valley in the east of Lebanon and additional areas across the country. It followed a video statement on Monday evening in which Netanyahu said Israel was at war with Hezbollah and that he had given the military instructions to deal them a crushing blow. Earlier this month Lebanon and Israel agreed to extend a 45-day ceasefire, though some fighting has continued. There will be fears in Beirut that these latest Israeli attacks will widen to include Lebanon's capital city.
Hackable Robot Lawn Mower Unlocks a New Nightmare
Plus: Meta officially kills encrypted Instagram DMs, the Trump administration targets "violent left wing extremists," leaked documents reveal Russia's school for elite hackers, and more. Cramming for finals is bad enough without the platform you use to do your schoolwork suddenly shutting down. Unfortunately for countless students across the US, that's exactly what they faced on Thursday after Canvas went into "maintenance mode" following a ransomware attack on education tech firm Instructure. Hackers using the name ShinyHunters claimed responsibility for the breach, and experts say the chaos they caused shows how far these actors will go to extort their victims. Did you know that Google Chrome includes an automatic download of the Gemini Nano AI model?
Integrative Learning of Dynamically Evolving Multiplex Graphs and Nodal Attributes Using Neural Network Gaussian Processes with an Application to Dynamic Terrorism Graphs
Rodriguez-Acosta, Jose, Guha, Sharmistha, Patel, Lekha, Shuler, Kurtis
Exploring the dynamic co-evolution of multiplex graphs and nodal attributes is a compelling question in criminal and terrorism networks. This article is motivated by the study of dynamically evolving interactions among prominent terrorist organizations, considering various organizational attributes like size, ideology, leadership, and operational capacity. Statistically principled integration of multiplex graphs with nodal attributes is significantly challenging due to the need to leverage shared information within and across layers, account for uncertainty in predicting unobserved links, and capture temporal evolution of node attributes. These difficulties increase when layers are partially observed, as in terrorism networks where connections are deliberately hidden to obscure key relationships. To address these challenges, we present a principled methodological framework to integrate the multiplex graph layers and nodal attributes. The approach employs time-varying stochastic latent factor models, leveraging shared latent factors to capture graph structure and its co-evolution with node attributes. Latent factors are modeled using Gaussian processes with an infinitely wide deep neural network-based covariance function, termed neural network Gaussian processes (NN-GP). The NN-GP framework on latent factors exploits the predictive power of Bayesian deep neural network architecture while propagating uncertainty for reliability. Simulation studies highlight superior performance of the proposed approach in achieving inferential objectives. The approach, termed as dynamic joint learner, enables predictive inference (with uncertainty) of diverse unobserved dynamic relationships among prominent terrorist organizations and their organization-specific attributes, as well as clustering behavior in terms of friend-and-foe relationships, which could be informative in counter-terrorism research.